Šešėlinės ekonomikos priežasčių Lietuvoje vertinimas

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Collection:
Mokslo publikacijos / Scientific publications
Document Type:
Straipsnis / Article
Language:
Lietuvių kalba / Lithuanian
Title:
Šešėlinės ekonomikos priežasčių Lietuvoje vertinimas
Alternative Title:
Evaluation of the factors influencing the shadow economy in Lithuania
In the Journal:
Taikomoji ekonomika: sisteminiai tyrimai [Applied economics: systematic research]. 2017, t. 11, Nr. 1, p. 27-37
Keywords:
LT
Bulgarija (Bulgaria); Rumunija (Romania); Turkija (Turkey); Lietuva (Lithuania).
Summary / Abstract:

LTŠiame straipsnyje analizuojamos ir vertinamos pagrindinės šešėlinės ekonomikos priežastys. Atliekamas tyrimas MIMIC metodu. Juo įvertinami šešėlinę ekonomiką labiausiai lemiantys veiksniai. Tyrimo metu nustatyta, kad šešėlinei ekonomikai daugiausia įtakos Lietuvoje turi mokesčių dalis bendrajame vidaus produkte, vartotojų pasitikėjimas, išsilavinusių gyventojų skaičius šalyje, nusikaltimų skaičius, užimtumo ir nedarbo lygis, banko turto pelningumas (ROA). [Iš leidinio]Reikšminiai žodžiai: MIMIC metodas; Veiksniai; Šešėlinė ekonomika; Factors; MIMIC approach; Shadow economy; Shadow economy, MIMIC approach.

ENThe shadow economy is a phenomenon visible and often analyzed in scientific sources. Shadow economy is also known as a black, grey, hidden, invisible, irregular, unofficial or underground economy. The importance of this topic in the world as well as in Lithuania is revealed by statistics. It is shown that in the context of the developed countries (such as Norway or Switzerland) Lithuania has one of the largest shadow economy rate. The European countries that have the higher rate of shadow economy are Turkey, Romania and Bulgaria. Scientific research that shows the factors of shadow economy is required in order to reduce the extent of shadow economy. In order to evaluate the main causes of the shadow economy MIMIC approach is used. MIMIC (multiple causes and multiple indicators) approach is an econometric model with one latent unobserved variable. Also endogenous and exogenous variables are observed. This method evaluates which factors are statistically significant and have the most influence on the shadow economy. Note that if exogenous variables correlate with other variables, it must be connected with two-headed arrows. According to the research results shadow economy in Lithuania is mostly influenced by unemployment, employment rate, taxes, consumer confidence, criminality, education and return on assets (ROA). [From the publication]

DOI:
10.7220/AESR.2335.8742.2017.11.1.2
ISSN:
1822-7996; 2335-8742
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https://www.lituanistika.lt/content/68645
Updated:
2018-12-17 14:15:56
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